Question
1. Potential biases associated with health surveys include A. non-response bias B. recall bias C. social desirability bias D. All of the above E. None
1. Potential biases associated with health surveys include A. non-response bias B. recall bias C. social desirability bias D. All of the above
E. None of the above
2. Social desirability bias can arise for all the following questions EXCEPT A. alcohol use B. dietary habits C. wearing seatbelts D. wearing face masks during a pandemic E. day of the week
3. What variable does the Medical Expenditure Panel Survey (MEPS) include that the National Health Interview Survey (NHIS) does not? A. sociodemographic B. health history C. health behavior D. prescription drug utilization E. None of the above
4. What variable does the National Health and Nutrition Examination Survey (NHANES) that the Medical Expenditure Panel Survey (MEPS) does not? A. blood test results B. prescription drug utilization C. inpatient utilization D. outpatient utilization E. expenditures sourced from medical providers and health records.
5. What is the difference between stratified and clustered random sampling? A. Stratified random sampling samples from every subgroup, while clustered random sampling samples from a sample of subgroups B. Stratified and clustered random sampling do not divide the population into subgroups C. Their standard errors are identical to those obtained from simple random sampling. D. They are not probability sampling techniques E. None of the above
6. The schematic design below represents a
A. stratified random sample
B. one-stage clustered random sample
C. two-stage clustered random sample
D. sampling frame
E. None of the above
7. if a stratum has Ni=1000 individuals and we sample ni=5 individuals, the weight equals A. 200
B. 100
C. 1/100
D. 1/200
E. 1000
8. Suppose only 50% of the oldest age group responds to a survey question on weight. Their actual weight would be the intended weight times ____. A. 0.5
B. 1.25
C. 2
D. 1/2
E. 4/5
9. Suppose p=60% of the population received a Covid-vaccine booster shot and we take a simple random sample of n=100 individuals. the variance of the estimate is A. 0.024
B. 0.025
C. 0.035
D. 0.05
E. 0.4
10. In a stratified, two-stage sampling design with three strata, the probability of each hospital being selected is 12 in the first stratum, 25 in the second stratum, and 14 in the third stratum.The probability of each patient being selected in a sampled hospital is 14 in the first stratum, 12 in the second stratum, and 23 in the third stratum. The base weights for patients in these strata are A. 6, 3, 6
B. 8, 5, 6
C. 1/6, 1/3, 1/6
D. 1/8, 1/5, 1/6
E. None of the above
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